Housing Instability and Concurrent Substance use and Mental Health Concerns: An Examination of Canadian Youth.
Bibliographic record
Abstract
OBJECTIVE: Though previous research has identified the high burden of mental health and addiction (MHA) concerns among precariously housed youth, earlier studies have not examined differences in MHA concerns among housing insecure Canadian youth across sectors. This study examines this issue using the Global Appraisal of Individual Needs Short Screener (GAIN-SS) in a cross-sectoral sample of Canadian youth. METHOD: A total of 2605 youth ages 12 to 24 seeking services across sectors completed the GAIN-SS and a sociodemographic form. The analyses described demographic variables and sector of presentation, then evaluated internalizing, externalizing, substance use, and crime/violence concerns based on housing status. RESULTS: < 0.01), which was largely driven by the high rate of concurrent disorders among precariously housed females. CONCLUSIONS: Since precariously housed youth with multiple clinical needs presented across sectors, attention must be given to screening for both housing stability and MHA and building stronger cross-sectoral partnerships. The findings should encourage systematic screening, MHA training and capacity building within housing sectors as well as integrated services across all youth-serving organizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".